National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Data Engineer

AIG
London
1 week ago
Create job alert

Join us as a Data Engineer to take your career to the next level with a global market leader.

How you will make an impact

You will be responsible for day-to-day applications management, functional enhancement, data stewardship and be a subject matter expert in support of AIG’s International Actuarial function. 

This is a strategic role supporting mission critical actuarial AIG functions. This includes leading technical resources, partnering with AIG IT, and actuarial business partners.  The senior associate is responsible for supporting deliverables in a highly outsourced model.  The Actuarial Data Engineering Senior Associate will work collaboratively with Product owners and vendor partners to ensure the business changes are done on a priority basis.  The ideal candidate ensures that roadmaps and product plans are in place to achieve the long-term objectives. 

Key responsibilities:

  • Analysis, design, technology development, and delivery accountability for mission critical actuarial processing initiatives across AIG.
  • Manage the data used for UK/Europe process including segmentation into lines of business during Month/Quarter end close. Actuaries use this data in Loss reserving to create Gross and Net loss triangles.
  • Provide the data used for Monthly Global AvE reporting (UK/Europe)
  • Maintaining the Quarter end process providing data for international segmentation, IBNR calculation and international reserving processes.
  • Delivery of all required reports to Reserving Actuaries on a monthly/quarterly basis.
  • Provides International premiums and losses data for UK/EU regulatory reporting and statutory processes.
  • Provides support to actuaries for ad hoc data requests.
  • Supports audits across all actuarial system processes.
  • Responsible for fostering and maintenance of relationships with business and IT partners.
  • Ensure that all solutions adhere to AIG standards for security.
  • Document enhancements and improve existing documentation of actuarial processes
  • Involvement in transitioning data and systems from Mainframe to Snowflake
  • Involvement in converting SAS programs to Python/R

What you'll need to succeed:

  • 5+ years Data Engineering experience
  • Good experience in Data Application management
  • Experience in Mainframe technologies – COBOL, JCL, TSO, ISPF, ENDEVOR, SDSF, JMR, IBM File Manager
  • SAS programming skills
  • SQL experience
  • Experience of Oracle, PowerBI, Snowflake, JAVA, Microsoft technologies desirable
  • R and Python experience desirable
  • Experience in developing and productionizing complex data engineering solutions.
  • Strong problem-solving skills with attention to detail
  • Ability to work under challenging production situations fulfilling tight deadlines and budget constraints.
  • Ability to work with large vendor teams across multiple geographies.
  • Experience in providing technical expertise and project leadership by conducting industry and market research and making recommendations regarding current and new domain knowledge and related technologies.
  • Familiarity with Agile methodologies and ability to use Rally to track user stories.
  • Ability to work independently and actively seek to improve the actuarial processes

#LI-AIG

At AIG, we value in-person collaboration as a vital part of our culture, which is why we askour team members to be primarily in the office. This approach helps us work togethereffectively and create a supportive, connected environment for our team and clientsalike.

Enjoy benefits that take care of what matters

At AIG, our people are our greatest asset. We know how important it is to protect and invest in what’s most important to you. That is why we created our Total Rewards Program, a comprehensive benefits package that extends beyond time spent at work to offer benefits focused on your health, wellbeing and financial security—as well as your professional development—to bring peace of mind to you and your family.

Reimagining insurance to make a bigger difference to the world

American International Group, Inc. (AIG) is a global leader in commercial and personal insurance solutions; we are one of the world’s most far-reaching property casualty networks. It is an exciting time to join us — across our operations, we are thinking in new and innovative ways to deliver ever-better solutions to our customers. At AIG, you can go further to support individuals, businesses, and communities, helping them to manage risk, respond to times of uncertainty and discover new potential. We invest in our largest asset, our people, through continuous learning and development, in a culture that celebrates everyone for who they are and what they want to become.

Welcome to a culture ofinclusion

We’re committed to creating a culture that truly respects and celebrates each other’s talents, backgrounds, cultures, opinions and goals. We foster a culture of inclusion and belonging through learning, cultural awareness activities and Employee Resource Groups (ERGs). With global chapters, ERGs are a cornerstone for our culture of inclusion. The talent of our people is one of AIG’s greatest assets, and we are honored that our drive for positive change has been recognized by numerous recent awards and accreditations.

AIG provides equal opportunity to all qualified individuals regardless of race, color, religion, age, gender, gender expression, national origin, veteran status, disability or any other legally protected categories.

AIG is committed to working with and providing reasonable accommodations to job applicants and employees with disabilities.  If you believe you need a reasonable accommodation, please send an email to .  

Functional Area:

DT - Data

AIG Europe S.A. (U.K. Service Branch) & American International Group UK Ltd

Related Jobs

View all jobs

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

National AI Awards 2025

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Return-to-Work Pathways: Relaunch Your Machine Learning Career with Returnships, Flexible & Hybrid Roles

Returning to work after an extended break can feel like starting from scratch—especially in a specialist field like machine learning. Whether you paused your career for parenting, caring responsibilities or another life chapter, the UK’s machine learning sector now offers a variety of return-to-work pathways. From structured returnships to flexible and hybrid roles, these programmes recognise the transferable skills and resilience you’ve developed, pairing you with mentorship, upskilling and supportive networks to ease your transition back. In this guide, you’ll discover how to: Understand the current demand for machine learning talent in the UK Leverage your organisational, communication and analytical skills in ML contexts Overcome common re-entry challenges with practical solutions Refresh your technical knowledge through targeted learning Access returnship and re-entry programmes tailored to machine learning Find roles that fit around family commitments—whether flexible, hybrid or full-time Balance your career relaunch with caring responsibilities Master applications, interviews and networking specific to ML Learn from inspiring returner success stories Get answers to common questions in our FAQ section Whether you aim to return as an ML engineer, research scientist, MLOps specialist or data scientist with an ML focus, this article will map out the steps and resources you need to reignite your machine learning career.

LinkedIn Profile Checklist for Machine Learning Jobs: 10 Tweaks to Drive Recruiter Interest

The machine learning landscape is rapidly evolving, with demand soaring for experts in modelling, algorithm tuning and data-driven insights. Recruiters hunt for candidates proficient in Python, TensorFlow, PyTorch and MLOps processes. A generic profile simply won’t cut it. Our step-by-step LinkedIn for machine learning jobs checklist covers 10 targeted tweaks to ensure your profile ranks in searches and communicates your technical impact. Whether launching your ML career or seeking leadership roles, these optimisations will sharpen your professional narrative and boost recruiter engagement.

Part-Time Study Routes That Lead to Machine Learning Jobs: Evening Courses, Bootcamps & Online Masters

Machine learning—a subset of artificial intelligence—enables computers to learn from data and improve over time without explicit programming. From predictive maintenance in manufacturing to recommendation engines in e-commerce and diagnostic tools in healthcare, machine learning (ML) underpins many of today’s most innovative applications. In the UK, demand for ML professionals—engineers, data scientists, research scientists and ML operations specialists—is growing rapidly, with roles projected to increase by over 50% in the next five years. However, many aspiring ML practitioners cannot step away from work or personal commitments for full-time study. Thankfully, a rich ecosystem of part-time learning pathways—Evening Courses, Intensive Bootcamps and Flexible Online Master’s Programmes—empowers you to learn machine learning while working. This comprehensive guide examines each route: foundational CPD units, immersive bootcamps, accredited online MSc programmes, funding options, planning strategies and a real-world case study. Whether you’re a software developer branching into ML, a statistician aiming to upskill, or a professional exploring AI-driven innovation, you’ll discover how to build in-demand ML expertise on your own schedule.